biorxiv-database

Search bioRxiv preprints using the Python client with keyword and date-range filters to retrieve structured metadata. Run `python scripts/biorxiv_search.py --keywords "[term]" --start-date YYYY-MM-DD --end-date YYYY-MM-DD --output results.json` to return titles, abstracts, DOIs, authors, and publication dates in JSON format.

Yes, the bioRxiv client supports batch PDF downloads alongside metadata retrieval. Results include downloadable PDFs for offline review and analysis, enabling researchers to access full preprint content programmatically through the same search workflow.

Category filtering is built into the bioRxiv search client, allowing you to narrow results by research domain. Combine category filters with keywords, authors, and date ranges to target specific subdisciplines within preprint collections.

Use author search queries to retrieve all preprints from specific researchers. The client returns structured metadata for author-targeted literature tracking, supporting systematic author monitoring and co-authorship analysis.

Search results return structured JSON metadata containing titles, abstracts, DOIs, authors, publication dates, license information, and categories. This format enables programmatic downstream processing, database ingestion, and systematic review workflows.

The skill requires Python and the requests library for API communication. Set up your environment with the dependency, then execute search commands with keyword, author, date, or category parameters to query the bioRxiv API and retrieve results.